Abstract: This paper investigates a GraphRAG framework that integrates knowledge graphs into the Retrieval-Augmented Generation (RAG) architecture to enhance networking applications. While RAG has ...
Abstract: Performing training and inference for Graph Neural Networks (GNNs) under tight latency constraints has become increasingly difficult as real-world input graphs continue to grow. Compared to ...
Nordic Semi nRF54ML20B Arm Cortex-M33 wireless SoC is the first nRF54L microcontroller to integrate the ultra-efficient Axon ...
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